List of Computer Science courses with video lectures.
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Updated
Sep 6, 2020
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Bioinformatics is an interdisciplinary field that intersects with biology, computer science, mathematics and statistics. It concerns itself with the development and use of methods and software tools for collecting and analyzing biological data.
List of Computer Science courses with video lectures.
Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
A DSL for data-driven computational pipelines
Conda recipes for the bioconda channel.
A curated list of awesome Bioinformatics libraries and software.
Burrow-Wheeler Aligner for short-read alignment (see minimap2 for long-read alignment)
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
A versatile pairwise aligner for genomic and spliced nucleotide sequences
Robust, flexible and resource-efficient pipelines using Go and the commandline
Data intensive science for everyone.
Toolkit for processing sequences in FASTA/Q formats
Single-Cell Analysis in Python. Scales to >1M cells.
A full spaCy pipeline and models for scientific/biomedical documents.
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
Python and C++ code for reading and writing genomics data.
A plotly.js React component from Plotly
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
A cross-platform and ultrafast toolkit for FASTA/Q file manipulation in Golang
A cross-platform, efficient and practical CSV/TSV toolkit in Golang
Unix, R and python tools for genomics and data science
Scripts to download genomes from the NCBI FTP servers
See #2700 for background, cross reference biopython/biopython#2833 (comment) e.g.
and: